Instance Selection + C4.5 - Glass

# 17/11/2009 23:11

Test description:

Crosvalidation test 10x10
Normalization [-1,1]
Vector Selection
Classification=C45

C45 Configuration:

BinarySplits=False
ConfidenceFactor=0.25
MinNumObj=2
NumFolds=3
ReducedErrorPruning=False
Unpruned=False
Accuracy Compression Rules
mean std. mean std. mean std.
C4.5 68.56 10.55 100.00 0.00 15.54 1.83
EkPs60p1 52.57 :-( 10.52 3.63 :-( 0.01 2.96 :-( 0.20
EkPs60p3 58.77 :-( 11.07 10.90 :-( 0.03 4.81 :-( 0.97
EkPs60p5 60.88 10.70 18.17 :-( 0.05 7.00 :-( 1.13
EkPs60p10 65.83 10.66 36.34 :-( 0.09 10.29 :-( 1.06
EkPs10p1 52.57 :-( 10.52 3.63 :-( 0.01 2.96 :-( 0.20
CNN 60.18 :-( 10.94 53.80 :-( 2.30 14.20 1.83
DROP3 51.41 :-( 14.09 20.04 :-( 2.86 6.83 :-( 1.41
DROP5 51.68 :-( 12.00 25.76 :-( 2.64 8.56 :-( 1.15
ENRBF 59.24 :-( 12.87 20.40 :-( 2.18 5.29 :-( 0.59
ENN 68.17 9.61 81.12 :-( 1.44 10.50 :-( 0.93
ICF 61.70 10.48 36.21 :-( 2.45 9.52 :-( 0.86
GE 68.98 9.87 91.34 :-( 1.30 15.57 2.25
RNGE 63.30 11.32 59.10 :-( 2.17 13.93 2.04
RMHC 33.85 :-( 11.73 3.63 :-( 0.01 2.66 :-( 0.50
MC 38.52 :-( 13.23 3.63 :-( 0.01 2.53 :-( 0.56

:-) statistically significant improvement, :-( significant degradation

EkPs60p1 Configuration:

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=1
NumSimplexPoints=60

EkPs60p3 Configuration:

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=3
NumSimplexPoints=60

EkPs60p5 Configuration:

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=5
NumSimplexPoints=60

EkPs60p10 Configuration:

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=10
NumSimplexPoints=60

EkPs10p1 Configuration:

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=1
NumSimplexPoints=60

CNN Configuration:

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean

DROP3 Configuration:

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Order=EnemyDistance
ENN=True
IncludePruned=True

DROP5 Configuration:

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Order=EnemyDistanceAndReverse
ENN=False
IncludePruned=True

ENRBF Configuration:

Sigma=0.5
Strenght=0.05
RemoveNoise=True
Tolerance=0.95
Metric=Intemi.Metric.SquareEuclidean

ENN Configuration:

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Repeated=False

ICF Configuration:

Metric=Intemi.Metric.SquareEuclidean
Filter=(ENN using kNN k=3)

GE Configuration:

Metric=Intemi.Metric.SquareEuclidean
MeighboursType=Gabriel

RNGE Configuration:

Metric=Intemi.Metric.SquareEuclidean
MeighboursType=Relative

RMHC Configuration:

Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
Search=randomMutation
Mutations=1000

MC Configuration:

Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
Search=monteCarlo
Mutations=1000